集成技术Issue(3)：1-7,7.
低氧环境下血氧序列的多尺度熵分析
Multiscale Entropy Analysis of Blood Oxygen Sequence in Hypoxic Environment
摘要
Abstract
Multi-scale entropy was introduced to analyze the blood oxygen sequence under hypoxic environment. Compared with mean analytical method, blood oxygen sequence analysis based on multi-scale entropy can reflect the dynamic adjustment mechanism of body hypoxia better. Multi-scale entropy, which is different from sample entropy that just estimates the difference between sequence lengthm andm+1 on the smallest scale and ignores other scales, calculates sample entropy of time series on multiple scales and relfects the irregular degree of time series on scales. The result shows that blood oxygen sequence analysis based on multi-scale entropy can identify human hypoxia endurance. This method is a reliable analytical method for studying the mechanism of hypoxic regulation of human body. The result also shows that repeated hypoxic stimulation will produce acclimatization effects on the human body which shows memory of hypoxia environment.关键词
低氧/多尺度熵/预测/记忆性Key words
hypoxia/multi-scale entropy/forecast/memory分类
医药卫生引用本文复制引用
王彬华,杨军,曹征涛,王海涛,俞梦孙..低氧环境下血氧序列的多尺度熵分析[J].集成技术,2015,(3):1-7,7.基金项目
国家重点基础研究发展计划(973计划)(2012CB518200) （973计划）
